Simple but predictive protein models.

Predictive Ability of Statistical Genomic Prediction Methods When Underlying Genetic Architecture of Trait Is Purely Additive

A simulation study was conducted to address the issue of how purely additive (simple) genetic architecture might impact on the efficacy of parametric and non-parametric genomic prediction methods. For this purpose, we simulated a trait with narrow sense heritability h2= 0.3, with only additive genetic effects for 300 loci in order to compare the predictive ability of 14 more practically used ge...

Credit Risk Predictive Ability of G-ZPP Model Versus V-ZPP Model

Credit risk management is becoming more and more important in recent years. When a company deals with a financial problem, it may not be able to fulfill its financial obligations, which can cause direct and indirect financial losses to shareholders, creditors, investors and other people in the community. Advanced credit risk models that are based on market value include improving credit quality...

Performance Evaluation of Dynamic Modulus Predictive Models for Asphalt Mixtures

Dynamic modulus characterizes the viscoelastic behavior of asphalt materials and is the most important input parameter for design and rehabilitation of flexible pavements using Mechanistic–Empirical Pavement Design Guide (MEPDG). Laboratory determination of dynamic modulus is very expensive and time consuming. To overcome this challenge, several predictive models were developed to determine dyn...

I-32: Predictive Factors of Recurrent Pregnancy Loss

Background Accurate prevalence figures are not available, but it has been estimated that 1-2% of women have recurrent pregnancy loss (RPL), defined as three or more consecutive losses of intrauterine pregnancy in the first trimester. Half of whom have no identifiable cause. Recent studies of early pregnancy loss, preeclampsia, pregnancy complications such a hydatidiform mole suggests that these...

Predictive ability of C-reactive protein for stroke